rapidly changing customer needs and desires in market of food product a pproprait actions in relation to marketing and sales play an important role in identifying these needs and succeeding of new food products in stage of launch of product. this paper aims to prioritize the factors affecting the marketing and sales of the new product development process in small and medium-sized businesses act...

Some of the recent proposals of web-based applications are oriented to provide advanced search services through virtual shops. Within this context, this paper proposes an advanced type of software application that simulates how a sales assistant dialogues with a consumer to dynamically configure a product according to particular needs. The paper presents the general knowledge model that uses ar...

Iodized salt has been an important source of dietary iodine, a trace element important for regulating human growth, development, and metabolic functions. This analysis identified iodized table salt sales as a percentage of retail salt sales using Nielsen ScanTrack. We identified 1117 salt products, including 701 salt blends and 416 other salt products, 57 of which were iodized. When weighted by...

The National Retail Data Monitor (NRDM) is a public health surveillance tool that collects and analyzes daily sales data for over-the-counter (OTC) health-care products. NRDM collects sales data for selected OTC health-care products in near real time from >15,000 retail stores and makes them available to public health officials. NRDM is one of the first examples of a national data utility for p...

Micro, Small and Medium Enterprises (MSMEs) have an important role in economic development order to achieve thq quality of growth. Intense competition among MSMEs requires a good inventory control that can help them minimize costs maximize profits. One the often experiences problems is Sabun Bening Official. To solve Official, Holt-Winter Exponential Additive forecasting method used as guide pr...

OBJECTIVE To assess how well supermarket sales data from a major supermarket chain can reflect on regional differences in dietary behaviour by comparing the sales data with the results provided by the annual health behaviour surveys. DESIGN Cross-sectional observational study. SETTING The study was carried out in six Finnish cities situated in different parts of Finland. For the study super...

A hybrid forecasting model that integrates ensemble empirical model decomposition EEMD , and extreme learning machine ELM for computer products sales is proposed. The EEMD is a new piece of signal processing technology. It is based on the local characteristic time scales of a signal and could decompose the complicated signal into intrinsic mode functions IMFs . The ELM is a novel learning algor...